Sreeram R.

Sreeram R.

Data scientist experienced in solving business problems for Fortune 500 clients

Bengaluru , India

Experience: 5 Years

Sreeram

Bengaluru , India

Data scientist experienced in solving business problems for Fortune 500 clients

5 Years

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About Me

I have a total of more than 5 years of experience in the data science field. I have been working hands-on to solve critical business problems for Fortune 500 companies across multiple business sectors using ML, DL and statistics. I have experi...

My expertise lies in understanding/capturing the business problem, converting the business problem into an analytical problem and using the right technology to solve the problem. I am well versed with most of the core technologies and techniques in the data science domain. (Details in the skills/technologies section)

Some of the interesting business problems that I've worked on - Clusterig retail stores, Forecasting weekly sales for stores, Predicting attrition of employees, Predicting failure rate of hardware parts, Analyzing sentiments of tweets about an organisation, Picking relevant information from law book, Extracting text from natural scene images, Extracting entities from news articles etc. 

Throughout my career, I have worked in core techniques like clustering, classification, regression, image classification, information retrieval, text classification, object detection etc.

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Portfolio Projects

Retrieve the most relevant answers from US Tax Law book for questions

Company

Retrieve the most relevant answers from US Tax Law book for questions

Role

Data Scientist

Description

Built an information retrieval model to pick the most relevant answers from the US tax law book for the input 
question. Read and implemented the research paper “A Latent Semantic Model with Convolutional-Pooling 
structure for Information Retrieval” from scratch in Pytorch. 

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Extract text from natural scene images

Company

Extract text from natural scene images

Role

Data Scientist

Description

Used pre trained CRAFT model to detect text regions in images and used tesseract to extract text from the regions. 
Also, implemented the EAST algorithm from scratch in pytorch to detect text regions in images

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Tools

Python pytorch

Predict attrition of employees in a financial year for different service lines

Company

Predict attrition of employees in a financial year for different service lines

Role

Data Scientist

Description

Built a classification model to predict the attrition probability of each employee for the future financial year based on 
historic data. Built an attrition prediction product in dash and deployed it on Azure web app to be used by the clients 

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Skills

Python Dash Tool

Tools

Python

Generate sentiment score for an organization based on live tweets

Company

Generate sentiment score for an organization based on live tweets

Role

Data Scientist

Description

Built a sentiment analysis model to analyze the live tweets about the organization. Converted the predicted 
sentiments into a quantifiable score. Led a team of 4 through the entire lifecycle of the project along with handling 
client conversations. 

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Tools

Python

Cluster retail stores with similar sales pattern and forecast weekly sales for the stores

Company

Cluster retail stores with similar sales pattern and forecast weekly sales for the stores

Role

Data Scientist

Description

Performed time series clustering analysis to group stores based on their sales pattern and used these clusters to 
forecast weekly sales for the stores, thus reducing the complexity involved in the store-level forecast process. 

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Tools

rstudio